Legislating Multiculturalism and Nationhood: The 1988<i>Canadian Multiculturalism Act</i>
Bibliographic record
Abstract
Abstract In this article I use new archival and elite interview data to improve our knowledge of how the Canadian Multiculturalism Act came into existence. I show why some Canadians began to seek such an act, why political parties promised an act and how this act was created. The evidence in this article will also correct claims that scholars often make about this act and the policy of multiculturalism that it contains. This evidence also improves our knowledge of why the policy of multiculturalism in this legislation does what few scholars would expect. This is because scholars often claim that policies of multiculturalism are used to “repudiate” and remove understandings of a country. But my evidence helps to show why the policy of multiculturalism in this act promotes understandings of a country. Scholars also claim that policies of multiculturalism can be divisive if they are unaccompanied by nation-building policies. But my evidence helps to show why the policy of multiculturalism in this legislation was designed to be a nation-building policy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.012 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".